Power Profiling-Guided Floorplanner for Thermal Optimization in 3D Multiprocessor Architectures. - Ignacio Arnaldo; José L. Risco-Martín; José L. Ayala; José Ignacio Hidalgo (PATMOS, 2011)

Fast and scalable temperature-driven floorplan design in 3D MPSoCs. - Ignacio Arnaldo; Alessandro Vincenzi; José Luis Ayala; José Luis Risco-Martín; José Ignacio Hidalgo; Martino Ruggiero; David Atienza (LATW, 2012)

Power profiling-guided floorplanner for 3D multi-processor systems-on-chip. - Ignacio Arnaldo; José Luis Risco-Martín; José Luis Ayala; José Ignacio Hidalgo (IET Circuits Devices Syst., 2012)

Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA. - Ignacio Arnaldo; Alfredo Cuesta-Infante; J. Manuel Colmenar; José L. Risco-Martín; José L. Ayala (Concurr. Comput. Pract. Exp., 2013)

Matching island topologies to problem structure in parallel evolutionary algorithms. - Ignacio Arnaldo; Iván Contreras; David Millán-Ruiz; José Ignacio Hidalgo; Natalio Krasnogor (Soft Comput., 2013)

Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets. - Ignacio Arnaldo; Kalyan Veeramachaneni; Una-May O'Reilly (EuroGP, 2014)

Multiple regression genetic programming. - Ignacio Arnaldo; Krzysztof Krawiec; Una-May O'Reilly (GECCO, 2014)

Blind optimisation problem instance classification via enhanced universal similarity metric. - Iván Contreras; Ignacio Arnaldo; Natalio Krasnogor; José Ignacio Hidalgo (Memetic Comput., 2014)

Building Predictive Models via Feature Synthesis. - Ignacio Arnaldo; Una-May O'Reilly; Kalyan Veeramachaneni (GECCO, 2015)

Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning. - Ignacio Arnaldo; Kalyan Veeramachaneni; Andrew Song; Una-May O'Reilly (IEEE Comput. Intell. Mag., 2015)

FlexGP - Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems. - Kalyan Veeramachaneni; Ignacio Arnaldo; Owen Derby; Una-May O'Reilly (J. Grid Comput., 2015)

AI^2: Training a Big Data Machine to Defend. - Kalyan Veeramachaneni; Ignacio Arnaldo; Vamsi Korrapati; Constantinos Bassias; Ke Li (BigDataSecurity/HPSC/IDS, 2016)

Multi-Line Batch Scheduling by Similarity. - Ignacio Arnaldo; Erik Hemberg; Una-May O'Reilly (GECCO (Companion), 2016)

Learning Representations for Log Data in Cybersecurity. - Ignacio Arnaldo; Alfredo Cuesta-Infante; Ankit Arun; Mei Lam; Costas Bassias; Kalyan Veeramachaneni (CSCML, 2017)

Acquire, adapt, and anticipate: continuous learning to block malicious domains. - Ignacio Arnaldo; Ankit Arun; Sumeeth Kyathanahalli; Kalyan Veeramachaneni (IEEE BigData, 2018)

eX2: a framework for interactive anomaly detection. - Ignacio Arnaldo; Kalyan Veeramachaneni; Mei Lam (IUI Workshops, 2019)

Shooting the moving target: machine learning in cybersecurity. - Ankit Arun; Ignacio Arnaldo (OpML, 2019)

The Holy Grail of "Systems for Machine Learning": Teaming humans and machine learning for detecting cyber threats. - Ignacio Arnaldo; Kalyan Veeramachaneni (SIGKDD Explor., 2019)

The Need for Interpretable Features: Motivation and Taxonomy. - Alexandra Zytek; Ignacio Arnaldo; Dongyu Liu; Laure Berti-Équille; Kalyan Veeramachaneni (SIGKDD Explor., 2022)